Privacy has been acknowledged to be a critical concern for many collaborative business environments. Recently, verifying whether Web services composition satisfies privacy requirement is a hot spot for privacy protection. However, little research focuses on behavioral privacy requirement. This paper proposes an approach based on model checking to verify the satisfiability of behavior-aware privacy requirements in services composition. Firstly, we extract LTL specification from the behavior constrains of privacy requirements. On the other side, the behavior of BPEL process is modeled by extended interface automata, which supports privacy semantics. Then it is transformed to Promela description, the input language of the model checker SPIN. Finally, we illustrate the verification of privacy requirements with SPIN.
Service composition has become a main application to satisfy user functional requirements. To assure user privacy information not being disclosed, using the user minimum privacy data set when providing application, is a research focus of privacy enhancement technology in the process of service composition. In this paper, first, we describe and discrete the continuous privacy data. Second, through privacy sensitive analysis and service availability analysis, we obtain the minimum privacy disclosure data set to protect user privacy information. In the end, we prove the feasibility and correctness of our method with case study.
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